Now liveThe Skillselion MCP - thousands of ranked skills, loaded into your agent mid-task. No install.Get it →
hoodini avatar

Fal Ai

  • 155 installs
  • 262 repo stars
  • Updated July 11, 2026
  • hoodini/ai-agents-skills

Integrate fal.ai image, video, and generative media endpoints into agents that must create, transform, or batch-produce visual assets programmatically.

About

Covers integrating fal.ai generative media APIs so agents can request image, video, and related model outputs, handle responses, and automate creative asset pipelines inside agent applications.

  • fal.ai generative media API
  • Image and video generation hooks
  • Agent-driven asset creation
  • Batch media workflows
  • hoodini agent integration pattern

Fal Ai by the numbers

  • 155 all-time installs (skills.sh)
  • +8 installs in the week ending Aug 2, 2026 (Skillselion tracking)
  • Ranked #694 of 1,335 Generative Media skills by installs in the Skillselion catalog
  • Data as of Aug 2, 2026 (Skillselion catalog sync)
npx skills add https://github.com/hoodini/ai-agents-skills --skill fal-ai

Add your badge

Show developers this skill is listed on Skillselion. Paste this into your README.

Listed on Skillselion
Installs155
repo stars262
Last updatedJuly 11, 2026
Repositoryhoodini/ai-agents-skills

What it does

Integrate fal.ai image, video, and generative media endpoints into agents that must create, transform, or batch-produce visual assets programmatically.

Files

SKILL.mdMarkdownGitHub ↗

fal.ai - Serverless AI Platform

Generate images, videos, and audio with fal.ai's fast serverless inference.

Quick Start

npm install @fal-ai/serverless-client
import * as fal from '@fal-ai/serverless-client';

fal.config({
  credentials: process.env.FAL_KEY,
});

// Generate image with Flux
const result = await fal.subscribe('fal-ai/flux/dev', {
  input: {
    prompt: 'A serene Japanese garden with cherry blossoms',
    image_size: 'landscape_16_9',
    num_images: 1,
  },
});

console.log(result.images[0].url);

Authentication

// Option 1: Environment variable (recommended)
// Set FAL_KEY in .env
fal.config({ credentials: process.env.FAL_KEY });

// Option 2: Direct config
fal.config({ credentials: 'your-api-key' });

// Option 3: Proxy (for client-side apps)
// Use fal.config({ proxyUrl: '/api/fal/proxy' }) on client

Image Generation Models

Flux (Fastest, High Quality)

// Flux Dev - Best quality
const result = await fal.subscribe('fal-ai/flux/dev', {
  input: {
    prompt: 'Professional headshot of a business executive',
    image_size: 'square_hd',  // 1024x1024
    num_inference_steps: 28,
    guidance_scale: 3.5,
    num_images: 1,
    enable_safety_checker: true,
  },
});

// Flux Schnell - Ultra fast (~0.5s)
const fast = await fal.subscribe('fal-ai/flux/schnell', {
  input: {
    prompt: 'A cute robot',
    image_size: 'square',
    num_inference_steps: 4,  // Schnell needs fewer steps
  },
});

// Flux Pro - Highest quality
const pro = await fal.subscribe('fal-ai/flux-pro', {
  input: {
    prompt: 'Hyperrealistic portrait',
    image_size: 'portrait_4_3',
    safety_tolerance: '2',
  },
});

Image Sizes

type ImageSize = 
  | 'square_hd'      // 1024x1024
  | 'square'         // 512x512
  | 'portrait_4_3'   // 768x1024
  | 'portrait_16_9'  // 576x1024
  | 'landscape_4_3'  // 1024x768
  | 'landscape_16_9' // 1024x576
  | { width: number; height: number };  // Custom

SDXL & Stable Diffusion

// SDXL
const sdxl = await fal.subscribe('fal-ai/fast-sdxl', {
  input: {
    prompt: 'Fantasy landscape',
    negative_prompt: 'blurry, low quality',
    image_size: 'landscape_16_9',
    num_inference_steps: 25,
    guidance_scale: 7.5,
    scheduler: 'DPM++ 2M Karras',
  },
});

// Stable Diffusion 3
const sd3 = await fal.subscribe('fal-ai/stable-diffusion-v3-medium', {
  input: {
    prompt: 'A mountain lake at sunset',
    negative_prompt: 'ugly, deformed',
    image_size: 'landscape_16_9',
  },
});

Image-to-Image

Image Editing with Flux

// Image to image
const result = await fal.subscribe('fal-ai/flux/dev/image-to-image', {
  input: {
    prompt: 'Transform to watercolor painting style',
    image_url: 'https://example.com/photo.jpg',
    strength: 0.75,  // How much to change (0-1)
    num_inference_steps: 28,
  },
});

// Inpainting (edit specific areas)
const inpaint = await fal.subscribe('fal-ai/flux/dev/inpainting', {
  input: {
    prompt: 'A red sports car',
    image_url: 'https://example.com/street.jpg',
    mask_url: 'https://example.com/mask.png',  // White = edit area
  },
});

ControlNet

// Generate with pose/edge control
const controlled = await fal.subscribe('fal-ai/flux-controlnet', {
  input: {
    prompt: 'A professional dancer',
    control_image_url: 'https://example.com/pose.jpg',
    controlnet_conditioning_scale: 0.8,
  },
});

Video Generation

Kling Video

const video = await fal.subscribe('fal-ai/kling-video/v1/standard/text-to-video', {
  input: {
    prompt: 'A golden retriever running through a field of flowers',
    duration: '5',  // seconds
    aspect_ratio: '16:9',
  },
});

console.log(video.video.url);

Image to Video

const i2v = await fal.subscribe('fal-ai/kling-video/v1/standard/image-to-video', {
  input: {
    prompt: 'The person starts walking forward',
    image_url: 'https://example.com/person.jpg',
    duration: '5',
  },
});

Luma Dream Machine

const luma = await fal.subscribe('fal-ai/luma-dream-machine', {
  input: {
    prompt: 'A timelapse of clouds moving over mountains',
    aspect_ratio: '16:9',
  },
});

Real-Time Generation

WebSocket Streaming

import * as fal from '@fal-ai/serverless-client';

// Real-time image generation with streaming
const stream = await fal.stream('fal-ai/flux/dev', {
  input: {
    prompt: 'A beautiful sunset',
    image_size: 'landscape_16_9',
  },
});

for await (const event of stream) {
  if (event.images) {
    console.log('Generated:', event.images[0].url);
  }
}

Real-Time SDXL (Low Latency)

// Ultra-low latency for interactive apps
const realtime = await fal.subscribe('fal-ai/fast-lcm-diffusion', {
  input: {
    prompt: 'Abstract art',
    image_size: 'square',
    num_inference_steps: 4,  // LCM needs very few steps
  },
});

Background Removal & Editing

// Remove background
const nobg = await fal.subscribe('fal-ai/birefnet', {
  input: {
    image_url: 'https://example.com/photo.jpg',
  },
});

// Upscale image
const upscaled = await fal.subscribe('fal-ai/creative-upscaler', {
  input: {
    image_url: 'https://example.com/small.jpg',
    scale: 2,
    creativity: 0.5,
    prompt: 'High quality, detailed',
  },
});

// Face swap
const swapped = await fal.subscribe('fal-ai/face-swap', {
  input: {
    base_image_url: 'https://example.com/target.jpg',
    swap_image_url: 'https://example.com/face.jpg',
  },
});

Next.js Integration

API Route (App Router)

// app/api/generate/route.ts
import * as fal from '@fal-ai/serverless-client';
import { NextRequest, NextResponse } from 'next/server';

fal.config({ credentials: process.env.FAL_KEY });

export async function POST(request: NextRequest) {
  const { prompt, model = 'fal-ai/flux/schnell' } = await request.json();
  
  try {
    const result = await fal.subscribe(model, {
      input: {
        prompt,
        image_size: 'landscape_16_9',
        num_images: 1,
      },
    });
    
    return NextResponse.json({ 
      imageUrl: result.images[0].url,
      seed: result.seed,
    });
  } catch (error) {
    return NextResponse.json({ error: 'Generation failed' }, { status: 500 });
  }
}

Proxy Route for Client-Side

// app/api/fal/proxy/route.ts
import { route } from '@fal-ai/serverless-client/server-proxy';

export const { GET, POST, PUT, DELETE } = route;
// Client-side usage
'use client';
import * as fal from '@fal-ai/serverless-client';

fal.config({ proxyUrl: '/api/fal/proxy' });

async function generateImage(prompt: string) {
  const result = await fal.subscribe('fal-ai/flux/schnell', {
    input: { prompt, image_size: 'square_hd' },
  });
  return result.images[0].url;
}

Queue System for Long Tasks

// Submit to queue (returns immediately)
const { request_id } = await fal.queue.submit('fal-ai/flux/dev', {
  input: { prompt: 'Complex scene', num_images: 4 },
});

// Check status
const status = await fal.queue.status('fal-ai/flux/dev', {
  requestId: request_id,
});
console.log(status.status); // 'IN_QUEUE' | 'IN_PROGRESS' | 'COMPLETED'

// Get result when ready
if (status.status === 'COMPLETED') {
  const result = await fal.queue.result('fal-ai/flux/dev', {
    requestId: request_id,
  });
}

// Or use webhooks
await fal.queue.submit('fal-ai/flux/dev', {
  input: { prompt: 'Scene' },
  webhookUrl: 'https://your-server.com/webhook',
});

Model Comparison

ModelSpeedQualityBest For
flux/schnell~0.5sGoodReal-time, previews
flux/dev~3sExcellentProduction images
flux-pro~5sBestProfessional work
fast-sdxl~2sGoodGeneral purpose
sd-v3-medium~4sExcellentDetailed scenes
kling-video~60sGoodVideo generation

Resources

  • fal.ai Docs: https://fal.ai/docs
  • Model Gallery: https://fal.ai/models
  • API Reference: https://fal.ai/docs/api-reference
  • Pricing: https://fal.ai/pricing

Related skills

Generative Mediaautomationllm

This week in AI coding

Five minutes, every Monday - the tools, releases and tactics for developers.

unsubscribe anytime.